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Related Experiment Video

Updated: Jun 28, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

fMRIPrep Lifespan: Extending A Robust Pipeline for Functional MRI Preprocessing to Developmental Neuroimaging.

Mathias Goncalves¹, Julia Moser², Thomas J Madison²

¹Department of Psychology, Stanford University, Stanford, CA, USA.

Biorxiv : the Preprint Server for Biology

|June 4, 2025

Summary

This summary is machine-generated.

fMRIPrep Lifespan extends standardized MRI processing for infants and toddlers. This new tool ensures reproducible functional MRI research from birth through old age.

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Area of Science:

Neuroimaging
Developmental Neuroscience
Computational Neuroscience

Background:

Standardized preprocessing workflows are crucial for neuroimaging research reproducibility and data sharing.
Existing tools like fMRIPrep are limited in processing early-life MRI data, hindering lifespan studies.
Bridging this gap is essential for understanding brain development and aging.

Purpose of the Study:

Introduce fMRIPrep Lifespan, an extension of fMRIPrep for comprehensive, lifespan neuroimaging data preprocessing.
Enable standardized processing of neonatal, infant, and toddler structural and functional MRI data.
Enhance the NiPreps suite for broader applicability across the entire human lifespan.

Main Methods:

Integrated NiBabies workflow for early-life MRI data with upstream NiPreps enhancements.
Incorporated multi-echo data processing and modularized workflow components.
Ensured processing convergence with established pipelines like ABCD-BIDS and HCP Pipelines.

Main Results:

Demonstrated high-quality preprocessing outputs for fMRIPrep Lifespan using Baby Connectome Project data (ages 1-43 months).
Validated the tool's effectiveness across a wide developmental age range.
Confirmed the production of robust and reproducible functional MRI data.

Conclusions:

fMRIPrep Lifespan successfully extends standardized MRI preprocessing from infancy to senescence.
The tool's scalable and modular design ensures adaptability for future lifespan neuroimaging research.
fMRIPrep Lifespan provides a robust framework for reproducible functional MRI studies across all ages.